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Prefer heavy utilization of Open Source coding and data manipulation languages such as Python, SQL and R. MUST have experience working within the Palantir Foundry platform using Python for data management, analytics and modeling, and experience building dynamic visualization dashboards and graphics.
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Sr Data Scientist (Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github) in Philadelphia, PA. Data Scientist, Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Helping modeling teams implement their work in an AWS-based modeling environment using tools such as Python, R, and Databricks. Comfortable working with Python, R, SQL queries, in Unix/Linux systems.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. The Flow Cytometry group is part of Dynamic Omics/ Centre for Genomics Research (CGR) and Discovery Sciences within AstraZeneca and works across all therapeutic areas including Oncology; Cardiovascular, Renal and Metabolism (CVRM); Respiratory and Immunology (R&I); Vaccines and Immunotherapies (V&I); Neurosciences, and Rare Diseases.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. Significant experience as a Data Scientist or advanced analytical role.
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12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Extensive experience using the following programming languages: Python, TypeScript/JavaScript, Kotlin, Rust, R, SQL, Shell. Extensive experience with data exploration exemplified by use of the following: pandas, R, SQL. Raster, OpenCV, Pillow, GDAL, Convolution, Vector: geos.
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Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer.
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Demonstrable experience with computer languages (R, Python, SQL, etc.) Moderna utilizes a digital infrastructure for both GMP and non-GMP operations including MES electronic batch records, Delta V for process control, OSI PI as a process historian, SAP for materials control, and LIMS for analytical data, as well as internal applications and manual data sources.
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Demonstrated fluency and competency with statistical programming with the R programming language or the Python programming language. An important task will be writing and maintaining analytic pipelines in languages such as R, python, Go, Rust, shell, SQL, WDL, and/or other appropriate languages, and using tools such as Docker.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Rockstar data scientist who can come up with modeling/testing/statistical framework to answer ambiguous strategic questions from business stakeholders to then deliver data driven causal/observational insights that create aha moment driving the business ahead.
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